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Argon AI

AI-native workspace for life sciences workflows

Founding Member - GTM & Partnerships

Account ExecutiveConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 6 years of experience in biopharma and life sciences sales or partnerships.
  • Deep working knowledge of pharma budgets and structure, with direct experience navigating deals.
  • Experience closing complex, multi-stakeholder engagements that span multiple months.
  • Comfort operating without a defined process or established structure.
  • Use of AI tools in work and personal life.

Responsibilities

  • Drive business development, including attending industry events and leading client conversations about tailored use cases of Argon’s platform.
  • Lead deals from the first conversation through pilot and enterprise contracts.
  • Help shape sales materials and continually develop new ways to provide value to current and potential partners.
  • Build the commercial function, pursue new partnerships and account-growth opportunities, map key accounts, execute strategies to bring new deals into the sales funnel, and manage them through pilot and close.
  • Work with the team on pricing, new product launches, and growth experiments.

About the Company

Argon AI

AI-native workspace for life sciences workflows

Argon AI builds an AI-native workspace tailored for life sciences, helping biopharma and biotech teams automate data-heavy workflows and extract insights from large datasets. The platform enables commercial and clinical teams to perform data-driven tasks via natural language queries, so they can query information about competitors, assets, clinical trials, and research, and automate steps in their processes. Unlike broader analytics tools, Argon AI focuses on the life sciences domain, integrating data analysis with workflow automation to support faster decision-making. The company’s goal is to help life sciences companies bring therapies and treatments to patients more quickly by improving data access, analysis, and cross-functional collaboration.

Company size
1-10
Company stage
Seed
Total funding
$5.6M
Headquarters
New York City, New York
Founded
2023

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